Mitch Bryson

2.3k citations
48 papers · 1.6k · h-index 25

Impact in

Papers in

Mitch Bryson

47 papers receiving 1.6k citations

Peers

Mitch Bryson
Comparison fields: 5 of 98
  • Geology 261
  • Environmental Engineering 377
  • Computer Vision and Pattern Recognition 506
  • Aerospace Engineering 609
  • Ecology 450
Replace Matthew Johnson‐Roberson with:
Matthew Johnson‐Roberson United States
Jens Leitloff Germany
Ralf Reulke Germany
Heiner Kuhlmann Germany
Nuno Gracias Spain
Paul R. Wolf Spain
Carl Salvaggio United States
Ian Mahon Australia
James Bethel United States
Antônio Maria Garcia Tommaselli Brazil
Mitch Bryson relative to Matthew Johnson‐Roberson United States Matthew Johnson‐Roberson's profile →
Citations per field
00.5×1.5×2.2×
Matthew Johnson‐Roberson · 1×
Citations per year

Countries citing papers authored by Mitch Bryson

Since Specialization
Citations

This map shows the geographic impact of Mitch Bryson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mitch Bryson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitch Bryson more than expected).

Fields of papers citing papers by Mitch Bryson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitch Bryson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mitch Bryson. The network helps show where Mitch Bryson may publish in the future.

Co-authors

The 25 scholars most cited alongside Mitch Bryson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mitch Bryson Line = papers co-authored together Mitch Bryson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008118
2 2016100
3 200795
4 202094
5 201585
6 201584
7 201078
8 201375
9 201270
10 201767
11 201158
12 200951
13 200951
14 201748
15 200737
16 201436
17 201935
18 201232
19 200730
20 200629

About Mitch Bryson

Mitch Bryson is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Environmental Engineering, Ecology and Geology, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (20 papers), Remote Sensing and LiDAR Applications (13 papers), 3D Surveying and Cultural Heritage (12 papers), Coral and Marine Ecosystems Studies (7 papers), Underwater Vehicles and Communication Systems (7 papers), Advanced Vision and Imaging (7 papers), Image Enhancement Techniques (7 papers) and Robotic Path Planning Algorithms (6 papers). The work is most often cited by research in Geology (261 citations), Environmental Engineering (377 citations), Computer Vision and Pattern Recognition (506 citations), Aerospace Engineering (609 citations) and Ecology (450 citations). Mitch Bryson has collaborated with scholars based in Australia, United States and Spain. Frequent co-authors include Salah Sukkarieh, Stefan B. Williams, Matthew Johnson‐Roberson, Oscar Pizarro, Lloyd Windrim, Ariell Friedman, Calvin Hung, Maria Byrne, Will F. Figueira and Renata Ferrari. Their work appears in journals such as Journal of Field Robotics, Remote Sensing, Journal of Intelligent & Robotic Systems, Ecology and Evolution and PLoS ONE.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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